Data Engineer Intern - Python

We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Remove boilerplate. We need to parse the posting. Content: - About Us: description of company mission etc. Could be "About the role"? Actually "About Us" is about company. The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content to these headings. We have: - About Us: description of company, mission, values. Could be placed under "About the role"? Usually "About the role" is about the position. But we have "Job Purpose" and "Intern Program Overview". Could combine into About the role. - Job Purpose: description of team, mission, objectives. - Intern Program Overview: details about internship program, mentorship, training, etc. - Key Responsibilities: bullet list. - Experience Required: "Must currently be pursuing a bachelors degree in related field." - Preferred Qualifications: "Experience working with data using Python" - Pay Transparency: salary range. - What We Offer: benefits description. - Schedule: "Summer interns work full-time (40 hours per week) from May through August." Also "Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program." That's eligibility, maybe part of Requirements. We need to decide sections: - About the role: could include Job Purpose + Intern Program Overview + About Us? Probably combine. - Responsibilities: Key Responsibilities bullet list. - Requirements: Experience Required (must be pursuing bachelors degree) + enrollment requirement. - Qualifications: Preferred Qualifications (Experience working with data using Python). Could also include "Preferred Qualifications" as Qualifications. - Skills: maybe not explicitly listed; we could infer from responsibilities: Python, AI, data pipelines. But we should not invent. If no explicit skills section, we should not create Skills heading. - Benefits: What We Offer paragraph. - Pay: Pay Transparency salary range. - Schedule: Summer interns work full-time (40 hours per week) from May through August. We must not include headings with filler text. So we include only those with content. We need to use

for each section heading. Then content: use

for prose,

• for lists. We must preserve all substantive information, not invent or summarize away detail. Let's extract exact text. About Us paragraph: "About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers." Job Purpose: "The PEPD PV DataOps team is a multi-functional group composed of Software Engineers, Data Scientists, Data Engineers, and Electrical Engineers. Since its formation in 2022, the team has been building a Python-based data platform that supports precision technology product development at CNH Industrial. Our Mission: Empower Product Validation teams to reliably collect data and draw actionable, data-driven insights that improve the customer experience. Our Objectives Build a scalable, versatile, and resilient data platform Generate accessible, reliable, and trustworthy data Provide analytic support for actionable, data-driven insights As a Data Engineer Intern, you will gain hands-on experience working with product performance data, leveraging AI to develop internal solutions that directly inform product validation and development." Intern Program Overview: "We are committed to building a strong talent pipeline by investing in early career professionals. Our internship and co-op programs provide mentorship, training, hands-on experience, and growth opportunities that empower students to explore their career paths with confidence. Through competitive wages, networking events, social and volunteer activities, professional development workshops, and housing support, we strive to deliver one of the best internship experiences—designed to develop and inspire the talent of tomorrow. Summer interns work full-time (40 hours per week) from May through August. Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program." Key Responsibilities (list): - Leveraging AI to optimize automated data processing pipelines with a priority on data integrity and quality - Developing with Python to design, develop, test, deploy, maintain and enhance data pipelines for our data platform - Collaborating with engineers and validation teams to ensure data-driven insights directly support product improvement initiatives - Supporting the team’s mission to provide accessible, reliable, and actionable data that empowers smarter decision-making Experience Required: "Must currently be pursuing a bachelors degree in related field." Preferred Qualifications: "Experience working with data using Python" Pay Transparency: "The annual salary for this role is USD $19.57 - $35.02 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.) For roles open across multiple locations, the salary range indicated refers to the primary location. If a different location is considered, the applicable salary range will be communicated to candidates prior to the first interview." What We Offer: "At CNH, our people are at the heart of everything we do. That’s why we offer a comprehensive benefits program designed to support your health, well-being, and long-term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered—both personally and professionally. We believe that when you’re given the tools to thrive, you can drive meaningful impact. At CNH, you’ll not only find the resources to succeed today—you’ll find the foundation to grow a career and build a future." Schedule: Already mentioned in Intern Program Overview: "Summer interns work full-time (40 hours per week) from May through August." Could be separate. We need to avoid duplication. The Intern Program Overview already includes schedule and eligibility. We could keep schedule separate but not duplicate. However we must preserve all substantive information; we can keep schedule in its own section and not repeat elsewhere? But we would be duplicating if we also keep it in Intern Program Overview. The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." It doesn't forbid duplication, but better to avoid duplication. We could keep Intern Program Overview as About the role (or separate) and then Schedule section just mention the schedule. But that would repeat the schedule sentence. Might be okay but could be considered duplication. However we could restructure: About the role includes Job Purpose and Intern Program Overview (excluding schedule). Then Schedule section includes the schedule sentence. But then we lose the schedule from Intern Program Overview if we remove it. Better to keep Intern Program Overview as About the role (including schedule) and not have separate Schedule heading. But we need to include Schedule heading only if posting has real specific content for it. It does have schedule content, but we already used it. Could we still have Schedule heading with same content? That would be duplication but not invented. The instruction didn't forbid duplication explicitly, but said "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." Duplicated lines refers to duplicated lines in the source, not our output. So we can duplicate content across sections if needed. However better to avoid redundancy but not required. We'll decide to have sections: About the role (combining About Us, Job Purpose, Intern Program Overview). Responsibilities (list). Requirements (Experience Required + enrollment). Qualifications (Preferred Qualifications). Benefits (What We Offer). Pay (Pay Transparency). Schedule (the schedule sentence). We'll not include Skills as no explicit. Now format. We need to output only HTML fragment, no /, no markdown. We'll produce:

  About the role

  About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

  The PEPD PV DataOps team is a multi-functional group composed of Software Engineers, Data Scientists, Data Engineers, and Electrical Engineers. Since its formation in 2022, the team has been building a Python-based data platform that supports precision technology product development at CNH Industrial. Our Mission: Empower Product Validation teams to reliably collect data and draw actionable, data-driven insights that improve the customer experience. Our Objectives Build a scalable, versatile, and resilient data platform Generate accessible, reliable, and trustworthy data Provide analytic support for actionable, data-driven insights As a Data Engineer Intern, you will gain hands-on experience working with product performance data, leveraging AI to develop internal solutions that directly inform product validation and development.

  We are committed to building a strong talent pipeline by investing in early career professionals. Our internship and co-op programs provide mentorship, training, hands-on experience, and growth opportunities that empower students to explore their career paths with confidence. Through competitive wages, networking events, social and volunteer activities, professional development workshops, and housing support, we strive to deliver one of the best internship experiences—designed to develop and inspire the talent of tomorrow. Summer interns work full-time (40 hours per week) from May through August. Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program.

  Then Responsibilities:

  Responsibilities

  • Leveraging AI to optimize automated data processing pipelines with a priority on data integrity and quality
  • Developing with Python to design, develop, test, deploy, maintain and enhance data pipelines for our data platform
  • Collaborating with engineers and validation teams to ensure data-driven insights directly support product improvement initiatives
  • Supporting the team’s mission to provide accessible, reliable, and actionable data that empowers smarter decision-making
  Requirements:

  Requirements

  Must currently be pursuing a bachelors degree in related field.

  Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program.

  Qualifications:

  Qualifications

  Experience working with data using Python

  Benefits:

  Benefits

  At CNH, our people are at the heart of everything we do. That’s why we offer a comprehensive benefits program designed to support your health, well-being, and long-term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered—both personally and professionally. We believe that when you’re given the tools to thrive, you can drive